<!--
  speedy-vision.js
  GPU-accelerated Computer Vision for JavaScript
  Copyright 2020-2024 Alexandre Martins <alemartf(at)gmail.com>

  Licensed under the Apache License, Version 2.0 (the "License");
  you may not use this file except in compliance with the License.
  You may obtain a copy of the License at
  
      http://www.apache.org/licenses/LICENSE-2.0

  Unless required by applicable law or agreed to in writing, software
  distributed under the License is distributed on an "AS IS" BASIS,
  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  See the License for the specific language governing permissions and
  limitations under the License.

  hello-world.html
  Hello World demo
-->
<!doctype html>
<html>
    <head>
        <meta charset="utf-8">
        <meta name="description" content="speedy-vision.js: GPU-accelerated Computer Vision for JavaScript">
        <meta name="author" content="Alexandre Martins">
        <title>Speedy feature detection</title>
        <link href="demo-base.css" rel="stylesheet">
        <script src="demo-base.js"></script>
        <script src="../dist/speedy-vision.js"></script>
    </head>
    <body>
        <h1>Hello, Speedy!</h1>
        <p>Feature detection made easy:</p>
        <canvas id="canvas-demo"></canvas>
        <img id="image" src="../assets/masp.jpg" title="Free photo by ckturistando (pexels.com)" hidden>
        <script>
window.onload = async function()
{
    /*

    Our pipeline:

    Image  ---> Convert to ---> FAST corner ---> Keypoint
    Source      greyscale       detector         Sink

    */

    // load the image
    const image = document.getElementById('image');
    const media = await Speedy.load(image);

    // create the pipeline
    const pipeline = Speedy.Pipeline();
    const source = Speedy.Image.Source();
    const greyscale = Speedy.Filter.Greyscale();
    const fast = Speedy.Keypoint.Detector.FAST();
    const sink = Speedy.Keypoint.Sink();

    source.media = media;
    fast.threshold = 50;

    source.output().connectTo(greyscale.input());
    greyscale.output().connectTo(fast.input());
    fast.output().connectTo(sink.input());

    pipeline.init(source, greyscale, fast, sink);

    // find the feature points
    const { keypoints } = await pipeline.run();

    // render the feature points
    const canvas = setupCanvas('canvas-demo', media.width, media.height, image.title);
    renderMedia(media, canvas);
    renderKeypoints(canvas, keypoints);
}
        </script>
        <section id="speedy-vision">
            <span>Powered by <a href="https://github.com/alemart/speedy-vision" target="_blank">speedy-vision.js</a></span>
            <a href="https://github.com/sponsors/alemart" target="_blank" class="button">
                <img alt="GitHub Sponsors" src="https://img.shields.io/github/sponsors/alemart?style=for-the-badge&logo=github&label=Sponsor&labelColor=royalblue&color=gold">
            </a>
        </section>
    </body>
</html>